It is never too late for an enterprise to start on the road to data analytics. However, catching up to the leaders will require some help. This article offers that help for beginning big data analytics, but its tips are universal enough to be useful to any enterprise at any stage of analytics integration.

Bias can creep in at any stage of analysis and turn good data into skewed, useless conclusions. This article runs down the major types of bias and discusses how to avoid bias in data analytics by pretesting and other means.

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Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs. From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.